Baier, Daniel, Geyer-Schulz, Andreas, Lausen, Berthold and Montanari, Angela - Archives of Data Science, Series A

Article Details

Title Editorial
Authors Baier, Daniel, Geyer-Schulz, Andreas, Lausen, Berthold and Montanari, Angela
Year 2020
Volume 6(1)
Abstract This issue contains revised versions of selected methodological papers presented during the sixth European Conference on Data Analysis (ECDA) that took place March 18-20, 2019, at the University of Bayreuth. ECDA in Bayreuth (2019) followed previous ECDAs in Luxembourg (2013), Bremen (2014), Colchester (2015), Wroclaw (2017), Paderborn (2018) and was jointly organized by the University of Bayreuth and *the Gesellschaft für Klassifikation (GfKl) Data Science Society as well as * the British Classification Society (BCS), * the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG), * the European Association for Data Science (EuADS), * the Japanese Classification Society (JCS), and * the Section on Classification and Data Analysis of the Polish Statistical Association (SKAD), In addition to ten plenary and semi-plenary talks, numerous sessions and lectures (altogether 160 presentations) took place on topics like Clustering, Classification, Data Science, Image Analysis and Computer Vision, Social Network Analysis, Symbolic Data Analysis, and applications of these methods in Biostatistics, Marketing, Medicine and Health Care, and Social Sciences. Also, specialized sessions were thankfully organized by colleagues, i.e., * Bioinformatics and Statistics (organized by Dominik Heider), * Complexity, Data Science and Statistics Through Visualization and Classification (Carmela Iorio, Roberta Siciliano), * Consumer Preferences and Marketing Analytics (Reinhold Decker, Winfried Steiner), * Data Analysis in Finance (Krzysztof Jajuga, Herrmann Locarek-Junge), * Data Analysis Models in Economics and Business (Józef Pociecha), * Interpretable Machine Learning (Johannes Fürnkranz, Eneldo Loza Mencía, Ute Schmid), * Statistical Learning (Angela Montanari).